Azure Data Factory Fundamentals

Data integration is a critical component of modern data platforms, allowing organizations to move and transform data from diverse sources. This course provides a comprehensive introduction to Azure Data Factory, Microsoft's cloud-based ETL and data integration service. By the end of this course, you will be equipped to confidently create robust data pipelines, orchestrate data movement, and apply data transformations, enabling you to deliver clean, prepared data for analytics and reporting. What you'll learn: * Understand the core components and architecture of Azure Data Factory. * Design and implement data ingestion pipelines from various source systems to Azure storage. * Apply data transformation techniques using mapping data flows and integrate with other Azure services. * Configure scheduling, monitoring, and error handling for reliable data pipeline execution. * Implement foundational CI/CD practices for Data Factory pipelines using Git integration. * Explore key security considerations for data access and pipeline operations within ADF. This course begins with essential terminology and foundational concepts, then guides you through practical examples of building, deploying, and managing data integration solutions. You will progress from basic data movement to more complex transformations and operational best practices. This course is designed for absolute beginners with no prior experience in Azure Data Factory or cloud data integration. Start your journey to becoming proficient in cloud data orchestration today.